MO2.R1.2

RANDOMIZED PRINCIPAL COMPONENT ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION

Mustafa Ustuner, Artvin Coruh University, Turkey
Session:
MO2.R1: Image Processing Oral
Track:
Data Analysis Methods
Location:
Room 1
Presentation Time:
Mon, 15 Apr, 12:15 - 12:30 Algeria Time (UTC +1)
Mon, 15 Apr, 20:15 - 20:30 Japan Time (UTC +9)
Mon, 15 Apr, 11:15 - 11:30 UTC
Mon, 15 Apr, 07:15 - 07:30 New York Time (UTC -5)
Session Chair:
Youcef Bentoutou, Agence Spatiale Algérienne, Centre de Développement des Satellites
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Session MO2.R1
MO2.R1.1: THE ENHANCED RBF-BFOA NETWORK FOR REMOTE SENSING IMAGE CLASSIFICATION
Yasmina Teldja AMGHAR, Amel TEHAMI, Intelligent System Learning and Optimization Team, the Laboratory of Electrical Engineering and Material, ESGEEO, Algeria
MO2.R1.2: RANDOMIZED PRINCIPAL COMPONENT ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Mustafa Ustuner, Artvin Coruh University, Turkey
MO2.R1.3: A NOVEL RESIDUAL-CONCATENATE FEATURE FUSION STRATEGY FOR BUILDING SEGMENTATION FROM REMOTE SENSING IMAGES
Akshara Preethy Byju, Lakshmi Vijayan, Amrita Vishwa Vidyapeetham, India
MO2.R1.4: Cross-Domain Machine Learning Approaches using Hyperspectral Imaging for Plastics litter detection
Soufyane BOUCHELAGHEM, Imad Eddine TIBERMACINE, Marco BALSI, Monica MORONI, Christian NAPOLI, Sapienza University of Rome, Italy
Resources
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